Grammar-constrained decoding for structured information extraction with fine-tuned generative models applied to clinical trial abstracts by David M. Schmidt, Philipp Cimiano

“…In contrast, the evaluated pointer generator models decreased the performance drastically in some cases. …”
Get full text

Semi-supervised emotion-driven music generation model based on category-dispersed Gaussian Mixture Variational Autoencoders. by Zihao Ning, Xiao Han, Jie Pan

“…Existing emotion-driven music generation models heavily rely on labeled data and lack interpretability and controllability of emotions. …”
Get full text

Spatial Object Tracking Using an Enhanced Mean Shift Method Based on Perceptual Spatial-Space Generation Model by Pengcheng Han, Junping Du, Ming Fang

“…In this paper, we present an intelligent modeling method using an enhanced mean shift method based on a perceptual spatial-space generation model. We use a series of basic and composite graphic operators to complete signal perceptual transformation. …”
Get full text

CaloQVAE: Simulating high-energy particle-calorimeter interactions using hybrid quantum-classical generative models by Sehmimul Hoque, Hao Jia, Abhishek Abhishek, Mojde Fadaie, J. Quetzalcoatl Toledo-Marín, Tiago Vale, Roger G. Melko, Maximilian Swiatlowski, Wojciech T. Fedorko

“…We introduce a technique combining recent advancements in generative models and quantum annealing for fast and efficient simulation of high-energy particle-calorimeter interactions.…”
Get full text

Robustly detecting mpox and non-mpox using a deep learning framework based on image inpainting by Yujun Cao, Yubiao Yue, Xiaoming Ma, Di Liu, Rongkai Ni, Haihua Liang, Zhenzhang Li

Subjects: Get full text

Screening of multi deep learning-based de novo molecular generation models and their application for specific target molecular generation by Yishu Wang, Mengyao Guo, Xiaomin Chen, Dongmei Ai

“…In this study, we modified one top-performing molecular generation model on the basis of the generative pretraining transformer (GPT) architecture in three directions. …”
Get full text

A Patch-Level Data Synthesis Pipeline Enhances Species-Level Crop and Weed Segmentation in Natural Agricultural Scenes by Tang Li, James Burridge, Pieter M. Blok, Wei Guo

Subjects: Get full text

Generation of Rational Drug-like Molecular Structures Through a Multiple-Objective Reinforcement Learning Framework by Xiangying Zhang, Haotian Gao, Yifei Qi, Yan Li, Renxiao Wang

Subjects: “…molecular generative model…”
Get full text

Survey of generative adversarial network by Zhenglong WANG, Baowen ZHANG

Subjects: Get full text

Frontal Face Generation Based on Attitude Point Guidance and Attention Mechanism Improvement by Jihui Zhao, Zhengyi Yuan, Junhu Zhang, Haitao Li, Hui Li

Subjects: Get full text

Designing host-associated microbiomes using the consumer/resource model by Germán Plata, Karthik Srinivasan, Madan Krishnamurthy, Lukas Herron, Purushottam Dixit

Subjects: Get full text

Individualized models of social judgments and context-dependent representations by Daniel N. Albohn, Stefan Uddenberg, Alexander Todorov

Subjects: Get full text

Conditional diffusion-generated super-resolution for myocardial perfusion MRI by Changyu Sun, Changyu Sun, Neha Goyal, Yu Wang, Darla L. Tharp, Senthil Kumar, Talissa A. Altes

Subjects: Get full text

Hackathon as a testing ground for creating digital tools in domestic Oriental studies by Kudakaev R.F., Mokretskiy A.Ch., Kostyrkin A.V.

Subjects: Get full text

Deep Learning for Traffic Scene Understanding: A Review by Parya Dolatyabi, Jacob Regan, Mahdi Khodayar

Subjects: Get full text

Into the latent space of capacitive sensors: interpolation and synthetic data generation using variational autoencoders by Miguel Monteagudo Honrubia, Francisco Javier Herraiz-Martínez, Javier Matanza Domingo

Subjects: Get full text

AVP-GPT2: A Transformer-Powered Platform for De Novo Generation, Screening, and Explanation of Antiviral Peptides by Huajian Zhao, Gengshen Song

Subjects: Get full text

An Evaluation of Variational Autoencoder in Credit Card Anomaly Detection by Faleh Alshameri, Ran Xia

Subjects: Get full text

A Specific Algorithm Based on Motion Direction Prediction by Zhesen Chu, Min Li

“…To address the problem of sample diversity and lack of quantity in a multitarget tracking environment, a generative model based on the conditional variational self-encoder conditional generation of adversarial networks is proposed, and the performance of the generative model is verified using pedestrian reidentification and other datasets, and the experimental results show that the method can take advantage of the advantages of both models to improve the quality of the generated results.…”
Get full text

SynC2S: An Efficient Method for Synthesizing Tabular Data With a Learnable Pre-Processing by Jiwoo Kim, Seri Park, Junsung Koh, Dongha Kim

“…In this study, we propose an efficient and theoretically principled method based on a deep generative model to effectively generate high-quality synthetic tabular data. …”
Get full text